Estimating the Effects of Social Intervention
Author: Charles M. Judd
Publisher: Cambridge University Press
Published: 1981-10-30
Total Pages: 256
ISBN-13: 9780521229753
DOWNLOAD EBOOKRead and Download eBook Full
Author: Charles M. Judd
Publisher: Cambridge University Press
Published: 1981-10-30
Total Pages: 256
ISBN-13: 9780521229753
DOWNLOAD EBOOKAuthor: Charles M. Judd
Publisher: Cambridge University Press
Published: 1981-10-30
Total Pages: 260
ISBN-13: 9780521229753
DOWNLOAD EBOOKAuthor: Charles M. Judd
Publisher: Cambridge University Press
Published: 1981-10-30
Total Pages: 256
ISBN-13: 9780521297554
DOWNLOAD EBOOKAuthor: Food and Agriculture Organization of the United Nations
Publisher: Food & Agriculture Org.
Published: 2018-10-22
Total Pages: 163
ISBN-13: 9251095531
DOWNLOAD EBOOKThis publication identifies interactions between agricultural and social protection interventions and shows the positive impacts of combined programmes on income diversification, food security and poverty reduction.
Author: Maureen A. Pirog
Publisher: John Wiley & Sons
Published: 2009-04-27
Total Pages: 539
ISBN-13: 1444307401
DOWNLOAD EBOOKThis volume provides a single collection some of the best articles on social experimentation and program evaluation that have appeared in the Journal of Policy Analysis and Management (JPAM). Provides exposure to a variety of well-executed social experiments and evaluations for evidence-based public policy Examines the theory and conduct of evaluations and social experiments as they relate to their practical implementation in evidence-based policy making Provides exposure to the fundamental issues surrounding the conduct of evaluations as well as to the relative merits of social experiments and the ethics and use of evaluations
Author: Alexander Kott
Publisher: Springer Science & Business Media
Published: 2010-09-15
Total Pages: 376
ISBN-13: 1441962352
DOWNLOAD EBOOKSociological theories of crime include: theories of strain blame crime on personal stressors; theories of social learning blame crime on its social rewards, and see crime more as an institution in conflict with other institutions rather than as in- vidual deviance; and theories of control look at crime as natural and rewarding, and explore the formation of institutions that control crime. Theorists of corruption generally agree that corruption is an expression of the Patron–Client relationship in which a person with access to resources trades resources with kin and members of the community in exchange for loyalty. Some approaches to modeling crime and corruption do not involve an explicit simulation: rule based systems; Bayesian networks; game theoretic approaches, often based on rational choice theory; and Neoclassical Econometrics, a rational choice-based approach. Simulation-based approaches take into account greater complexities of interacting parts of social phenomena. These include fuzzy cognitive maps and fuzzy rule sets that may incorporate feedback; and agent-based simulation, which can go a step farther by computing new social structures not previously identified in theory. The latter include cognitive agent models, in which agents learn how to perceive their en- ronment and act upon the perceptions of their individual experiences; and reactive agent simulation, which, while less capable than cognitive-agent simulation, is adequate for testing a policy’s effects with existing societal structures. For example, NNL is a cognitive agent model based on the REPAST Simphony toolkit.
Author: Howard S. Bloom
Publisher: Russell Sage Foundation
Published: 2005-06-10
Total Pages: 259
ISBN-13: 1610440692
DOWNLOAD EBOOKPolicy analysis has grown increasingly reliant on the random assignment experiment—a research method whereby participants are sorted by chance into either a program group that is subject to a government policy or program, or a control group that is not. Because the groups are randomly selected, they do not differ from one another systematically. Therefore any differences between the groups at the end of the study can be attributed solely to the influence of the program or policy. But there are many questions that randomized experiments have not been able to address. What component of a social policy made it successful? Did a given program fail because it was designed poorly or because it suffered from low participation rates? In Learning More from Social Experiments, editor Howard Bloom and a team of innovative social researchers profile advancements in the scientific underpinnings of social policy research that can improve randomized experimental studies. Using evaluations of actual social programs as examples, Learning More from Social Experiments makes the case that many of the limitations of random assignment studies can be overcome by combining data from these studies with statistical methods from other research designs. Carolyn Hill, James Riccio, and Bloom profile a new statistical model that allows researchers to pool data from multiple randomized-experiments in order to determine what characteristics of a program made it successful. Lisa Gennetian, Pamela Morris, Johannes Bos, and Bloom discuss how a statistical estimation procedure can be used with experimental data to single out the effects of a program's intermediate outcomes (e.g., how closely patients in a drug study adhere to the prescribed dosage) on its ultimate outcomes (the health effects of the drug). Sometimes, a social policy has its true effect on communities and not individuals, such as in neighborhood watch programs or public health initiatives. In these cases, researchers must randomly assign treatment to groups or clusters of individuals, but this technique raises different issues than do experiments that randomly assign individuals. Bloom evaluates the properties of cluster randomization, its relevance to different kinds of social programs, and the complications that arise from its use. He pays particular attention to the way in which the movement of individuals into and out of clusters over time complicates the design, execution, and interpretation of a study. Learning More from Social Experiments represents a substantial leap forward in the analysis of social policies. By supplementing theory with applied research examples, this important new book makes the case for enhancing the scope and relevance of social research by combining randomized experiments with non-experimental statistical methods, and it serves as a useful guide for researchers who wish to do so.
Author: Peter H. Rossi
Publisher: SAGE Publications
Published: 2018-12-06
Total Pages: 361
ISBN-13: 1506307876
DOWNLOAD EBOOKThe long-awaited new edition is here! Evaluation: A Systematic Approach, by Peter H. Rossi, Mark W. Lipsey, and Gary T. Henry, is the best-selling comprehensive introduction to the field of program evaluation, covering the range of evaluation research activities used in appraising the design, implementation, effectiveness, and efficiency of social programs. Evaluation domains are presented in a coherent framework that not only explores each, but recognizes their interrelationships, their role in improving social programs and the outcomes they are designed to affect, and their embeddedness in social and political context. Relied on as the “gold standard” by professors, students, and practitioners for 40 years, the new Eighth Edition includes a new practical chapter on planning an evaluation, entirely new examples throughout, and a major re-organization of the book’s content to better serve the needs of program evaluation courses
Author: Bent Greve
Publisher: Edward Elgar Publishing
Published: 2017-03-31
Total Pages: 574
ISBN-13: 1785363247
DOWNLOAD EBOOKThis Handbook uses methodologies and cases to discover how and when to evaluate social policy, and looks at the possible impacts of evaluation on social policy decisions. The contributors present a detailed analysis on how to conduct social policy evaluation, how to be aware of pitfalls and dilemmas and how to use evidence effectively.
Author: Moutinho, Luiz
Publisher: IGI Global
Published: 2023-10-16
Total Pages: 461
ISBN-13: 1668495937
DOWNLOAD EBOOKThe early 2020s have been marked by a surge of interest in artificial intelligence (AI), and it has grown to be one of the hottest topics in computer science, business technology research, and educational technologies. Despite AI winters in the 1970s and 1990s, where interest and subsequently adequate funding for AI research ceased, and as the technology and its usefulness become more perceptible, often with brilliant results, society is once again ready to investigate this powerful technology and its potential. However, a challenge arises when AI is called into question in an ethical context. It is important that we explore how it can contribute to the resolution of ethical, social, and environmental issues and also to address growing concerns around AI developing emergent bias as well as the human application of AI for malicious purposes. With recent AI-based writing technologies, concerns around academic integrity abound and challenge our perceptions of authenticity in writing. A careful assessment of these technologies, their usefulness and potential harm, and strategic solutions to maintaining ethical standards and regulation of the technology is a necessity for the maintenance of civilized life amidst these tools. Philosophy of Artificial Intelligence and Its Place in Society evaluates various aspects of artificial intelligence including the range of technologies, their advantages and disadvantages, and how AI systems operate. Spanning from machine learning to deep learning, philosophical insights, societal concerns, and the newest approaches to AI, it helps to develop an appreciation for and breadth of knowledge across the full range of AI sub-disciplines including neural networks, evolutionary computation, computer vision, robotics, expert systems, speech processing, and natural language processing. Led Dr. Luiz Moutinho of the University of Suffolk in the United Kingdom, who has won several awards for his academic literature, this book provides academic market-scholars; researchers and students of philosophy, sociology, economics, and education; as well as corporate scientists with a comprehensive collection of core research elements, concepts, advances, applications, evidence, and outcomes related to artificial intelligence.